David Shaw

D.E. Shaw & Company L.P.

David Shaw

Education:University of California, San Diego
Stanford University (Ph. D)

David E. Shaw: The Science of Investing

We might say that investing is a science, but how many financiers are actually world-renowned investors and scientists? To master two fields so thoroughly is extremely rare, and Dr. David E. Shaw is one of the few individuals to fit this description.

To begin with his role in the domain of science, David E. Shaw serves as Chief Scientist of D. E. Shaw Research and as a Senior Research Fellow at the Center for Computational Biology and Bioinformatics at Columbia University. D. E. Shaw Research is engaged in scientific research and technological development in the field of computational biochemistry, including the design of novel algorithms and machine architectures as well as the study of the structural changes underlying various biological phenomena.

David’s extensive training and experience have helped D. E. Shaw Research serve the scientific community, and Dr. Shaw has chosen a top team of researchers to support him in his endeavors. This research team includes computational chemists and biologists, computer scientists and applied mathematicians, and computer architects and engineers, all working collaboratively under the leadership David Shaw, their Chief Scientist.

And those are just his scientific achievements. On the financial side of things, David E. Shaw has a net worth of $5.08 billion and is the Founder of multinational investment firm D. E. Shaw & Co., L.P. A global investment and technology group founded in 1988 over a small bookstore in downtown New York City, D. E. Shaw began with six employees and $28 million in capital and quickly became a pioneer in computational finance.

Today, the D. E. Shaw group manages more than $51 billion in investment and committed capital. Based on rigorous and systematic scientific research – as we might expect, given the founder’s background – D. E. Shaw’s highly successful investment strategies run on quantitative and computational techniques developed by the firm over approximately 30 years of research and trading.

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